Michael Wolverton

604 citations
20 papers · 386 indexed · h-index 10

Michael Wolverton

20 papers receiving 323 citations

Peers

Michael Wolverton
Comparison fields: 5 of 54
  • Human-Computer Interaction 45
  • Information Systems and Management 50
  • Artificial Intelligence 231
  • Computer Vision and Pattern Recognition 110
  • Health Informatics 5
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Countries citing papers authored by Michael Wolverton

Since Specialization
Citations

This map shows the geographic impact of Michael Wolverton's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Wolverton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wolverton more than expected).

Fields of papers citing papers by Michael Wolverton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Wolverton. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Wolverton. The network helps show where Michael Wolverton may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael Wolverton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Wolverton Line = papers co-authored together Michael Wolverton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201529
2 201443
3
Trustable Task Processing Systems.
20081
4 2008129
5
A Categorization of Explanation Questions for Task Processing Systems.
200711
6
Explaining Task Processing in Cognitive Assistants That Learn.
20078
7
Issues in Algorithm Characterization for Link Analysis.
20063
8
Event Recognition in Airborne Motion Imagery.
20063
9
Prioritizing Planning Decisions in Real-World Plan Authoring
20041
10
LAW: A Workbench for Approximate Pattern Matching in Relational Data
200315
11
A mixed-initiative framework for robust plan sketching
200336
12
PASSAT: A User-centric Planning Framework
200228
13
Research Summary: Communication-Sensitive Decision Making in Multi-Agent, Real-Time Environments
20011
14 199925
15 19998
16
Controlling communication in distributed planning using irrelevance reasoning
199821
17 19975
18
Segmenting reactions to improve the behavior of a planning/reacting agent
19961
19
Retrieving semantically distant analogies with knowledge-directed spreading activation
199410
20
Retrieving semantically distant analogies
19948

About Michael Wolverton

Michael Wolverton is a scholar working on Artificial Intelligence, Information Systems and Management, Software, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (9 papers), Logic, Reasoning, and Knowledge (6 papers), Semantic Web and Ontologies (6 papers), Multi-Agent Systems and Negotiation (4 papers), Topic Modeling (3 papers), Advanced Database Systems and Queries (3 papers), Constraint Satisfaction and Optimization (3 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Human-Computer Interaction (45 citations), Information Systems and Management (50 citations), Artificial Intelligence (231 citations), Computer Vision and Pattern Recognition (110 citations) and Health Informatics (5 citations). Michael Wolverton has collaborated with scholars based in United States and Italy. Frequent co-authors include Alyssa Glass, Deborah L. McGuinness, Marie desJardins, Peter Jarvis, Karen L. Myers, Barbara Hayes‐Roth, Thomas J. Lee, Supun Samarasekera, Rakesh Kumar and Zhiwei Zhu. Their work appears in journals such as AI Magazine, ACM Computing Surveys, The Florida AI Research Society, Zenodo (CERN European Organization for Nuclear Research) and Künstliche Intell..

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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